9 дней назад
Senior Applied Scientist, Ads Personalization
188 200 - 244 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied Scientist, Ads Personalization (Machine Learning/AdTech): Building user understanding, ad ranking, conversion prediction, and recommendation systems for Unity’s advertising platform with an accent on behavioral modeling, prediction quality, and large-scale data analysis. Focus on monitoring and calibrating models, addressing data drift and delayed feedback, and designing optimization algorithms and reinforcement learning systems.
Location: Mountain View, California, USA
Salary: $188,200–$244,600 gross annually in Zone A; $167,200–$217,300 in Zone B; $148,700–$193,300 in Zone C
Company
develops a leading game engine and 3D development platform used across games, XR, web, automotive, manufacturing, and healthcare.
What you will do
- Design, implement, and maintain user understanding models.
- Improve ad ranking, conversion prediction, recommendation systems, behavioral models, and bidding strategies.
- Monitor model performance, calibrate predictions, and address data drift and delayed feedback.
- Work with technical leads to define the team’s long-term direction and oversee engineering design and project execution.
- Communicate complex technical concepts to non-engineering stakeholders.
Requirements
- Advanced degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
- At least 5 years of experience building and operating large-scale advertising delivery and optimization systems.
- At least 3 years of experience in content understanding, behavior modeling, user profiling, and cohort analysis.
- Significant experience with a general-purpose programming language such as Python, Go, Scala, or C++.
- Knowledge of metric design, experimentation methodologies, and large-scale data analysis.
- Professional English proficiency is required for frequent verbal and written communication with colleagues and partners worldwide.
Nice to have
- Experience designing and productionizing optimization algorithms for ad-serving platforms or marketplaces.
- Experience with control systems and reinforcement learning algorithms.
Culture & Benefits
- Collaborative and innovation-focused environment.
- Health, life, and disability insurance, with offerings varying by country and employment status.
- Retirement or pension plans, vacation and personal days, and family-care programs.
- Employee stock ownership, training and development programs, and mental health support.
- Employee resource groups, global employee assistance, office food, commute subsidy, and volunteering and donation matching.
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